Temporal ranges of central nervous processing: clinical evidence

Steinbüchel, Nicole von

doi:10.1007/s002210050564

Cited by 19 publications

(15 citation statements)

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“…Several recent neuroimaging studies have confirmed this proposition by demonstrating a preferential engagement of the left auditory cortex in the processing of rapidly changing acoustic information (Zatorre and Belin 2001;Zaehle et al 2004;Jamison et al 2006;Schonwiesner et al 2005;Zaehle et al 2008), whereas the processing of slowly changing acoustic information specifically recruits the right auditory cortex (Belin et al 1998;Boemio et al 2005;Jamison et al 2006;Schonwiesner et al 2005;Meyer et al 2002). The gist of these studies is consistent with clinical investigations in which aphasic patients with lesions affecting the left auditory cortex have shown impaired processing of temporally relevant acoustic (nonspeech) information (Efron 1963;Von Steinbuchel 1998). In contrast, patients with lesions of the right Heschl gyrus show impairments in the processing of spectrally relevant acoustic (nonspeech) information (Zatorre 1988;Johnsrude et al 2000).…”

Section: Introductionsupporting

confidence: 54%

Pre-attentive Spectro-temporal Feature Processing in the Human Auditory System

et al. 2009

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In the present study, we investigated the pre-attentive processing of low-level acoustic properties and the impact of this mechanism on functional lateralization in the human auditory system. Mismatch negativity (MMN) of the event-related potentials (ERP) were recorded in 19 adult humans who passively listened to a standard stimulus and spectrally and temporally deviant sounds. We predicted modulations of the MMN amplitude in response to spectrally and temporally graded deviants. Based on recent models of functional hemispheric lateralisation, we further hypothesized a left-lateralized source of the MMN in response to temporal deviants and, in contrast, a right-lateralized source of the MMN in response to spectral deviants. In agreement with our hypothesis, we showed that spectrally and temporally deviant sounds lead to robust MMNs recorded from frontocentral scalp electrodes. The amplitudes of the MMNs were modulated by the grade of spectral and temporal deviation from the standard sound. Furthermore, by using an assumption-free source localization approach (LORETA) we demonstrated functionally lateralized activations with dominance of the right hemisphere for the processing of spectral characteristics and of the left hemisphere for the processing of temporal acoustic properties. Results of our study further contribute to the ongoing debate on the role of low-level acoustic feature perception in functional hemispheric lateralization in the context of auditory and speech processing. Our data indicate that the pre-attentive feature-specific deviant processing is mediated by partly distinct neural subsystems for temporal and spectral information.

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Section: Introductionsupporting

confidence: 54%

Pre-attentive Spectro-temporal Feature Processing in the Human Auditory System

et al. 2009

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“…Such phenomenon is more likely to occur in systems with memory than without memory. Similar arguments could be extended to studies which found that lesions of right precentral cortex seem to prolong Necker cube switching time (Steinbuchel 1998), lesions of right parietal cortex prolong binocular rivalry switching times (Pavlovskaya et al 2001), as well as that binocular rivalry switching times are also unusually long in some psychiatric illnesses (schizophrenia and bipolar disorder) (Pettigrew and Miller 1998). (2) Leopold et al (2003) have also shown that band-limited power (BLP) of local field potential (LFP) displayed fluctuations at many time scales.…”

Section: Summary and Discussionmentioning

confidence: 64%

“…Low-dimensional chaos is usually a consequence of nonlinear interactions among a few modes in a deterministic system. In principle, it is unlikely to be consistent with single unit neural recording and functional imaging studies, which implicate multiple cortical areas in visual multistability (Elbert et al 1985;Inui et al 2000;Kleinschmidt et al 1998;Lumer et al 1998;Tong et al 1998;Sterzer et al 2002;Steinbuchel 1998;Bisiach et al 1999). This is because it is highly unlikely that the multiple cortical areas involved in visual multistability may be described by only a few variables.…”

Section: Introductionmentioning

confidence: 85%

Inertia and memory in ambiguous visual perception

Gao

Billock

Merk³

et al. 2006

Cogn Process

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Perceptual multistability during ambiguous visual perception is an important clue to neural dynamics. We examined perceptual switching during ambiguous depth perception using a Necker cube stimulus, and also during binocular rivalry. Analysis of perceptual switching time series using variance-sample size analysis, spectral analysis and time series shuffling shows that switching times behave as a 1/f noise and possess very long range correlations. The long memory feature contrasts sharply with the traditional satiation models of multistability, where the memory is not incorporated, as well as with recently published models of multistability and neural processing, where memory is excluded. On the other hand, the long memory feature favors the concept of "dynamic core" or coalition of neurons, where neurons form transient coalitions. Perceptual switching then corresponds to replacement of one coalition of neurons by another. The inertia and memory measures the stability of a coalition: a strong and stable coalition has to be won over by another similarly strong and stable coalition, resulting in long switching times. The complicated transient dynamics of competing coalitions of neurons may be addressable using a combination of functional imaging, measurement of frequency-tagged magnetoencephalography and frequency-tagged encephalography, simultaneous recordings of groups of neurons in many areas of the brain, and concepts from statistical mechanics and nonlinear dynamics theory.

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“…1b and c). Recent electrophysiological and functional imaging studies reveal important clues to the origins of visual multistability during binocular rivalry in striate, extrastriate, parietal, temporal, and possibly even frontal cortex (Elbert et al 1985;Lumer et al 1998;von Steinbu¨chel 1998;Tong et al 1998;Inui et al 2000;Sengpeil 2000;Leopold et al 2002;Sterzer et al 2002;White et al 2002).…”

Section: Introductionmentioning

confidence: 96%

Perceptual dominance time distributions in multistable visual perception

Zhou

Gao

White

et al. 2004

Biological Cybernetics

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Perceptual multistability, alternative perceptions of an unchanging stimulus, gives important clues to neural dynamics. The present study examined 56 perceptual dominance time series for a Necker cube stimulus, for ambiguous motion, and for binocular rivalry. We made histograms of the perceptual dominance times, based on from 307 to 2478 responses per time series (median=612), and compared these histograms to gamma, lognormal and Weibull fitted distributions using the Kolmogorov-Smirnov goodness-of-fit test. In 40 of the 56 tested cases a lognormal distribution provided an acceptable fit to the histogram (in 24 cases it was the only fit). In 16 cases a gamma distribution, and in 11 cases a Weibull distribution, were acceptable but never as the only fit in either case. Any of the three distributions were acceptable in three cases and none provided acceptable fits in 12 cases. Considering only the 16 cases in which a lognormal distribution was rejected ( p<0.05) revealed that minor adjustments to the fourth-moment term of the lognormal characteristic function restored good fits. These findings suggest that random fractal theory might provide insight into the underlying mechanisms of multistable perceptions.

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Temporal ranges of central nervous processing: clinical evidence

Cited by 19 publications

References 0 publications

Pre-attentive Spectro-temporal Feature Processing in the Human Auditory System

Pre-attentive Spectro-temporal Feature Processing in the Human Auditory System

Inertia and memory in ambiguous visual perception

Perceptual dominance time distributions in multistable visual perception

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